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Skills

R
SQL
Spark
Stata
ODK
Shiny
SPSS

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Made with the R package pagedown.

Last updated on 2019-10-26.

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Sabbir Ahmed Hemo

Statistician with a demonstrated history of working in the research for both industry and non-profit organizations. Skilled in R, Shiny, Statistical Data Analysis, SQL and Machine Learning.

Currently searching for a data science position that allows me to build tools using visualization and machine learning to help people explore and understand their data.

Education

MS, Applied Statistics

University of Dhaka

Dhaka, BD

2020 - 2019

  • Thesis: Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials

BS, Applied Statistics

University of Dhaka

Dhaka, BD

2018 - 2015

  • Project: Predicting malnutrition status of under-five children using tree based models

Industry Experience

Consultant Statistician

Grasp Industries Bangladesh

Dhaka, BD

2019

  • Developed ODK Aggregate Server in a host server to collect data
  • Formulate digital form on COLLECT Android App for collecting data
  • Created a web dashboard to see real time insights from the data collected

Statistician

Participation Promoters Bangladesh Limited

Dhaka, BD

2019 - 2018

  • Analyzed data in the baseline survey of nutrition project of CDP
  • Designed the midline survey, analyzed collected data
  • Wrote report based on the findings from the data

Volunteer Experience

Member

United Nations Youth Advisory Panel in Bangladesh

Dhaka, BD

2019 - 2014

  • Worked as a technical advisor for UN agencies in Bangladesh
  • Did different kind of surveys and FGDs
  • Helped to organize different training session and workshop

Central Youth Volunteer

Save the Children in Bangladesh

Dhaka, BD

2015

  • Support NCTF program with technical assistance
  • Did interviews and FGDs for the baseline survey of WASH project
  • Organized different training session and workshop

Speaker

Child Parliament

Bangladesh

2015 - 2013

  • Lead the core committee of CP to arrange a session
  • Facilitated different workshop and training sessions for Child Parliament

Selected Publications, Posters, and Talks

Predicting malnutrition status of under-five children using tree based models

Accepted as poster presentation at ICHPS 2020

San Diego, CA, USA

2019

  • Authored with Prof. Md. Israt Rayhan

Performance of Inverse Probability Weighting Compared to Multiple Imputation for Missing Binary Outcomes in Cluster Randomized Trials

Proposed

N/A

2019